Microsoft SQL Server Indexing Strategies for Enhanced Readability Checklist

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1. Understand data distribution and access patterns
2. Create indexes on columns used in WHERE, JOIN, and ORDER BY clauses
3. Use a clustered index as the primary key
4. Avoid indexing columns with high cardinality (many unique values)
5. Use non-clustered indexes for columns with low to moderate cardinality
6. Limit the number of indexes per table (ideally 2-3)
7. Maintain statistics on indexed columns regularly
8. Update statistics after significant data changes or DML operations
9. Consider using included columns in non-clustered indexes
10. Use query store and wait stat analysis to identify indexing opportunities

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Implementing a Microsoft SQL Server Indexing Strategies for Enhanced Readability Checklist can benefit your organization in several ways.

• Improved query performance: By optimizing indexing strategies, you can significantly reduce the time it takes to execute queries, leading to faster data retrieval and improved overall system responsiveness.
• Better data consistency: A well-designed indexing strategy ensures that data is consistently stored and retrieved across the database, reducing errors and inconsistencies.
• Enhanced scalability: With an optimized indexing approach, your database can handle increased traffic and data volumes more efficiently, making it easier to scale as your organization grows.
• Simplified maintenance: By documenting and implementing a standardized indexing strategy, you'll have a clear framework for ongoing database maintenance, reducing the likelihood of performance issues and making troubleshooting easier.
• Reduced storage costs: Optimizing indexes can help minimize storage requirements by ensuring that data is stored in the most efficient way possible, leading to cost savings over time.

1. Column Order and Clustering
2. Selectivity and Cardinality
3. Fragmentation and Reorganizing
4. Index Hints and Execution Plans
5. Statistics Maintenance
6. Partitioning and Sharding
7. In-Memory OLTP and Columnstore
8. Data Compression and Encryption